When AI tools promise to save time and simplify development, we trust them with our workflow. But what happens when that trust is broken—again and again?
As a NON developer working on VIBE, I recently encountered a critical issue that tested not just my patience, but my faith in AI-driven coding assistants.
I lost all my credits trying to fix a single feature bug. That’s not an exaggeration—I tried over 50 times to get the code to correctly transition from one module to another. Each time, I faced the same screen, the same failure, and the same lack of progress. Despite following all the instructions, debugging thoroughly, and tweaking the code with every possible variation, nothing changed.
At first, I believed I was doing something wrong. But after so many attempts, I realized: the issue wasn’t with me. It was with the AI agent I was relying on.
AI coding tools are meant to assist, guide, and enhance productivity—not drain resources while looping in frustration. In my case, the agent failed to adapt, learn, or even escalate the issue appropriately.
This isn’t just a bug; it’s a trust issue.
The Real Question: Can We Trust AI Coding Agents?
AI tools have made great strides. They can generate templates, write boilerplate code, and even suggest fixes. But they lack context, memory, and emotional understanding. When things go wrong, they don’t “feel” your frustration. They don’t know when you’ve tried 50 times. They just keep offering the same broken suggestion.
So, to answer the question: Can VIBE coders trust AI coding agents?
The answer is: Cautiously, and with backup.
Use them as assistants, not decision-makers. Validate their code. Log their failures. And if something isn’t working after a few attempts—stop wasting credits and escalate to a human.
Final Thoughts
AI agents can be powerful tools, but they still need oversight, context, and refinement. Until they understand when they’re stuck—and learn to say “I don’t know” or “let’s try another approach”—they’ll remain helpful assistants, not trusted teammates.